🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

The fantastic Shing Chan keeps implementing new features into the OxWearables stepcount package! Along with validated steps, the package now outputs peak cadence values. 6-minute video tutorial here: youtu.be/FPb7H-jyRVQ

New article! Read Self-supervised learning for human activity recognition using 700,000 person-days of wearable data dlvr.it/T5PS9S in npj Digital Med

Happy to announce our foundation model for wearables published at npj Digital Medicine today. This model sets a new standard in #Wearables, significantly outperforming human activity recognition benchmarks in diverse conditions. 🚀 nature.com/articles/s4174…

Deadline 10th May. Please do get in touch if interested!

For ISMPB (and other) researchers interested in using UK Biobank wearable sensor data, we have a really exciting workshop at the #ICAMPAM2024 conference with @DrAJLewandowski, UK Biobank Alaina Shreves, National Cancer Institute ismpb.org/workshop-progr…

Congratulations Rosemary!

Members of our @Oxwearables group will be delivering 4 oral presentations, 1 workshop, 1 symposium and 1 poster at next weeks #ICAMPAM2024 conference organised by ISMPB We are all looking forward to coming and sharing the work of our group.

Interested in learning more about wearables in large-scale biomedical studies? We're running a residential short course from 22 - 26 September at Oxford Includes: inspirational speakers, great tutors, and hands-on data analysis. conted.ox.ac.uk/courses/machin…

I had a great time presenting and discussing my poster with others at #ICAMPAM2024 yesterday. OxWEARS will produce the largest annotated validation dataset in the world, and will join other datasets made publicly available by the OxWearables group at Oxford Population Health (OxPop) University of Oxford

Great analysis by Lily Koffman and John Muschelli on step counting algorithms. Our StepCount package is available on Github for all researchers to use freely: github.com/OxWearables/st…

Thanks for your inspiring contribution to our reproducible machine learning course!

It's been 1 week since we welcomed 32 researchers from around the world to Oxford to learn about machine learning of wearables data in large scale biomedical studies. We can't wait to see how this knowledge is used in future work! conted.ox.ac.uk/courses/machin…

Today we were delighted to host Emmanuel (Manos) Stamatakis at Oxford Population Health (OxPop) who presented his work over the last few years investigating how micro-patterns of physical activity are associated with beneficial health outcomes.

JOB ALERT: Please disseminate to any ECR's in your networks that may be interested in joining our team to assist in procuring large validation datasets for the wider research community. 2 posts available: my.corehr.com/pls/uoxrecruit…

🚨 New preprint on arXiv from OxWearables PIXL @ Oxford ! Can vision-language models (VLMs) help automatically annotate physical activity in large real-world wearable datasets (⌚️+📷, 🇬🇧 + 🇨🇳). 📄 arxiv.org/abs/2505.03374 🧵1/7